149 Open source projects that are alternatives of or similar to BGCN

A distributed graph deep learning framework.

A reading list for deep graph learning acceleration.

An index of recommendation algorithms that are based on Graph Neural Networks.

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

Code for reproducing results in GraphMix paper

StellarGraph - Machine Learning on Graphs

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

Code and resources on scalable and efficient Graph Neural Networks

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Representation Learning on Graphs with Jumping Knowledge Networks

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

Official implementation of MSR-GCN (ICCV2021 paper)

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Disentagnled Graph Collaborative Filtering, SIGIR2020

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

Summary of social recommendation papers and codes

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

Visualization tool for Graph Neural Networks

Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)

Smart contract vulnerability detection using graph neural network (DR-GCN).

Official repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)

Demo of RouteNet in ACM SIGCOMM'19

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Subgraph Neural Networks (NeurIPS 2020)

Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop

odr.chalmers.se/handle/20.500.12380/256629?locale=en

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

Causing: CAUsal INterpretation using Graphs

The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

A Pytorch implementation of CVPR 2020 paper: Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text

Multi-hop Question Generation with Graph Convolutional Network

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Official PyTorch code of DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization (ICCV 2021 Oral).

It is a blueprint to data science from the mathematics to algorithms. It is not completed.

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)

A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data

Spatial Temporal Graph Convolutional Networks for Sign Language (ST-GCN-SL) Recognition

Here is the code for the paper ``Aspect-Level Sentiment Analysis via Convolution over Dependency Tree'' accepted by EMNLP2019.

A graph-based deep learning framework for life science

Code for the CHAMPS Predicting Molecular Properties Kaggle competition